This information is indicative and can be subject to change.
Decision Theory Foundations
MMMEF, Université Paris 1 Panthéon-Sorbonne
Instructor: Marcus Pivato (Centre d'Économie de la Sorbonne).
Email: [email protected] or [email protected] .
Classes: Thursday 17h00-19h00. (nine weeks) (The class of Thursday 2 October is cancelled because I will be away from Paris that week. Instead, we will have an extra lecture on Wednesday 12 November, 17h00-19h00)
Website: https://sites.google.com/view/decision-theory-foundations/home .
Textbook: (required) Decision Making, by Giacomo Bonanno (2017).
[Freely available for download on the author’s website, but also inexpensive to purchase printed book.]
Marking scheme:
• 100% Final Exam (Thursday 4 December, 17h00-19h00)
The exam will be based on the lists of recommended problems which I will give you each week. It is
strongly recommended that you try to solve all of these problems during the semester, as a way of
studying for the exam.
Lecture schedule for nine classes (provisional; sections numbers refer to book by Bonanno.)
1. Chapters 2 and 3. Outcomes and Preferences; States and Acts
2. Chapter 4. Decision Trees
3. Chapter 5. Expected Utility Theory
4. Chapter 6. Applications of Expected utility
5. Chapters 7 and 8. Conditional Reasoning; Information and Beliefs
6. Chapter 9 The value of information
7. Chapter 10 Intertemporal choice
8. Chapter 11 Preference aggregation
9. Review/flex time
Advice: I will follow the textbook closely. Thus, it is strongly recommended that you obtain a copy of
the textbook, and read the recommended sections of the book and the online lecture notes before each
lecture. Come to class prepared to ask questions. Be an active learner. After each class, review the
exercises solved in class, and solve the other assigned problems.
Important: During the lectures, I will not have time to cover every fact, definition, theorem, algorithm
and example in the textbook. However, you are expected to know everything stated in the relevant
sections of the textbook (see above). So you should study the relevant textbook sections carefully.
Decision Theory Foundations
MMMEF, Université Paris 1 Panthéon-Sorbonne
Instructor: Marcus Pivato (Centre d'Économie de la Sorbonne).
Email: [email protected] or [email protected] .
Classes: Thursday 17h00-19h00. (nine weeks) (The class of Thursday 2 October is cancelled because I will be away from Paris that week. Instead, we will have an extra lecture on Wednesday 12 November, 17h00-19h00)
Website: https://sites.google.com/view/decision-theory-foundations/home .
Textbook: (required) Decision Making, by Giacomo Bonanno (2017).
[Freely available for download on the author’s website, but also inexpensive to purchase printed book.]
Marking scheme:
• 100% Final Exam (Thursday 4 December, 17h00-19h00)
The exam will be based on the lists of recommended problems which I will give you each week. It is
strongly recommended that you try to solve all of these problems during the semester, as a way of
studying for the exam.
Lecture schedule for nine classes (provisional; sections numbers refer to book by Bonanno.)
1. Chapters 2 and 3. Outcomes and Preferences; States and Acts
2. Chapter 4. Decision Trees
3. Chapter 5. Expected Utility Theory
4. Chapter 6. Applications of Expected utility
5. Chapters 7 and 8. Conditional Reasoning; Information and Beliefs
6. Chapter 9 The value of information
7. Chapter 10 Intertemporal choice
8. Chapter 11 Preference aggregation
9. Review/flex time
Advice: I will follow the textbook closely. Thus, it is strongly recommended that you obtain a copy of
the textbook, and read the recommended sections of the book and the online lecture notes before each
lecture. Come to class prepared to ask questions. Be an active learner. After each class, review the
exercises solved in class, and solve the other assigned problems.
Important: During the lectures, I will not have time to cover every fact, definition, theorem, algorithm
and example in the textbook. However, you are expected to know everything stated in the relevant
sections of the textbook (see above). So you should study the relevant textbook sections carefully.
